LFG-DOT: a probabilistic, constraint-based model for machine translation
نویسنده
چکیده
We develop novel models for Machine Translation (MT) based on Data-Oriented
منابع مشابه
LFG-DOT: Combining Constraint-Based and Empirical Methodologies for Robust MT
The Data-Oriented Parsing Model (DOP, [1]; [2]) has been presented as a promising paradigm for NLP. It has also been used as a basis for Machine Translation (MT) — Data-Oriented TVanslation (DOT, [9]). Lexical Functional Grammar (LFG, [5]) has also been used for MT ([6]). LFG has recently been allied to DOP to produce a new LFG-DOP model ([3]) which improves the robustness of LFG. We summarize ...
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تاریخ انتشار 2000